SOTAVerified

Super-Resolution

Super-Resolution is a task in computer vision that involves increasing the resolution of an image or video by generating missing high-frequency details from low-resolution input. The goal is to produce an output image with a higher resolution than the input image, while preserving the original content and structure.

( Credit: MemNet )

Papers

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Showing 601–650 of 3874 papers

TitleStatusHype
Deep Audio Waveform PriorCode1
A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary GeometriesCode1
Cascaded Temporal Updating Network for Efficient Video Super-ResolutionCode1
DDet: Dual-path Dynamic Enhancement Network for Real-World Image Super-ResolutionCode1
CNN-generated images are surprisingly easy to spot... for nowCode1
Deep Learning-Driven Ultra-High-Definition Image Restoration: A SurveyCode1
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-ResolutionCode1
3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstructionCode1
Deep learning of multi-resolution X-Ray micro-CT images for multi-scale modellingCode1
Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluationCode1
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-ResolutionCode1
3D Human Pose, Shape and Texture from Low-Resolution Images and VideosCode1
DDistill-SR: Reparameterized Dynamic Distillation Network for Lightweight Image Super-ResolutionCode1
Deep Model-Based Super-Resolution with Non-uniform BlurCode1
Collaborative Feedback Discriminative Propagation for Video Super-ResolutionCode1
Collapsible Linear Blocks for Super-Efficient Super ResolutionCode1
A Practical Contrastive Learning Framework for Single-Image Super-ResolutionCode1
Deep Plug-and-Play Super-Resolution for Arbitrary Blur KernelsCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
Combining Attention Module and Pixel Shuffle for License Plate Super-ResolutionCode1
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-ResolutionCode1
High-dimensional Dense Residual Convolutional Neural Network for Light Field ReconstructionCode1
HFH-Font: Few-shot Chinese Font Synthesis with Higher Quality, Faster Speed, and Higher ResolutionCode1
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and LatencyCode1
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in ImagingCode1
A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-ResolutionCode1
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-ResolutionCode1
DARTS: Double Attention Reference-based Transformer for Super-resolutionCode1
Component Divide-and-Conquer for Real-World Image Super-ResolutionCode1
DeFMO: Deblurring and Shape Recovery of Fast Moving ObjectsCode1
Deformable 3D Convolution for Video Super-ResolutionCode1
Degradation-Aware Self-Attention Based Transformer for Blind Image Super-ResolutionCode1
Hierarchical Amortized Training for Memory-efficient High Resolution 3D GANCode1
DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-ResolutionCode1
Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional AutoencoderCode1
DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution NetworksCode1
Improving Super-Resolution Performance using Meta-Attention LayersCode1
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image RescalingCode1
Cylin-Painting: Seamless 360 Panoramic Image Outpainting and BeyondCode1
CVAE-GAN: Fine-Grained Image Generation through Asymmetric TrainingCode1
Compression-Aware Video Super-ResolutionCode1
AeroRIT: A New Scene for Hyperspectral Image AnalysisCode1
D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-ResolutionCode1
Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and ReportCode1
Computing Multiple Image Reconstructions with a Single HypernetworkCode1
CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-ResolutionCode1
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image GenerationCode1
DHP: Differentiable Meta Pruning via HyperNetworksCode1
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image BlendingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified